The Car Sales Dataset is a collection of data that contains information on various car models sold in the market. The dataset includes variables such as the price of the car in thousands of dollars, engine size, horsepower, fuel efficiency, and sales. 1. Price_in_thousands: This variable represents the price of the car in thousands of dollars, which is a measure of the car's cost. 2. Engine_size: This variable represents the size of the engine in cubic centimeters, which is a measure of the car's power. 3. Horsepower: This variable represents the power of the car's engine in horsepower, which is a measure of the car's ability to accelerate and maintain speed. 4. Fuel_efficiency: This variable represents the number of miles per gallon (mpg) that the car can travel on a single gallon of fuel, which is a measure of the car's fuel efficiency. 5. Sales: This variable represents the number of units of the car sold in a given period, which is a measure of the car's popularity and demand in the market.

Overall, this dataset can be used to analyze the relationships between the different variables and to predict the sales of a car based on its price, engine size, horsepower, and fuel efficiency. It can be helpful for businesses and consumers alike in making informed decisions about buying and selling cars.

This dataset provides values for TOTAL VEHICLE SALES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Total Vehicle Sales in the United States decreased to 15.30 Million in October from 16.40 Million in September of 2025. This dataset provides the latest reported value for - United States Total Vehicle Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The U.S. auto industry sold nearly ************* cars in 2024. That year, total car and light truck sales were approximately ************ in the United States. U.S. vehicle sales peaked in 2016 at roughly ************ units. Pandemic impact The COVID-19 pandemic deeply impacted the U.S. automotive market, accelerating the global automotive semiconductor shortage and leading to a drop in demand during the first months of 2020. However, as demand rebounded, new vehicle supply could not keep up with the market. U.S. inventory-to-sales ratio dropped to its lowest point in February 2022, as Russia's war on Ukraine lead to gasoline price hikes. During that same period, inflation also impacted new and used car prices, pricing many U.S. consumers out of a market with increasingly lower car stocks. Focus on fuel economy The U.S. auto industry had one of its worst years in 1982 when customers were beginning to feel the effects of the 1973 oil crisis and the energy crisis of 1979. Since light trucks would often be considered less fuel-efficient, cars accounted for about ** percent of light vehicle sales back then. Thanks to improved fuel economy for light trucks and cheaper gas prices, this picture had completely changed in 2020. That year, prices for Brent oil dropped to just over ** U.S. dollars per barrel. The decline occurred in tandem with lower gasoline prices, which came to about **** U.S. dollars per gallon in 2020 - and cars only accounted for less than one-fourth of light vehicle sales that year. Four years on, prices are dropping again, after being the highest on record since 1990 in 2022.

Worldwide car sales grew to around ** million automobiles in 2024, up from around **** million units in 2023. Throughout 2020 and 2021, the sector experienced a downward trend on the back of a slowing global economy, while COVID-19 and the Russian war on Ukraine contributed to shortages in the automotive semiconductor industry and further supply chain disruptions in 2022. Despite these challenges, 2023 and 2024 sales surpassed pre-pandemic levels and are forecast to keep rising through 2025 and 2026. Covid-19 hits car demand It had been estimated pre-pandemic that international car sales were on track to reach ** million. While 2023 sales are still far away from that goal, this was the first year were car sales exceeded pre-pandemic values. The automotive market faced various challenges in 2023, including supply shortages, automotive layoffs, and strikes in North America. However, despite these hurdles, the North American market was among the fastest-growing regions in 2024, along with Eastern Europe and Asia, as auto sales in these regions increased year-on-year. Chinese market recovers After years of double-digit growth, China's economy began to lose steam in 2022, and recovery has been slow through 2023. China was the largest automobile market based on sales with around **** million units in 2023. However, monthly car sales in China were in free-fall in April 2022 partly due to shortages, fears over a looming recession, and the country grappling with the COVID-19 pandemic. By June of that same year, monthly sales in China were closer to those recorded in 2021.

Total Vehicle Sales in China increased to 3322000 Units in October from 3226000 Units in September of 2025. This dataset provides - China Total Vehicle Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Number of units and total sales of new motor vehicles by type of vehicle, annual.

The data is from an online survey administered to a representative population of former and prospective car buyers in Norway. This dataset contains the discrete choice experiment (DCE) data collected as part of the survey, stored in NLogit format.

Codebook:

Option - 1 (car one); 2 (car two); 3 (neither) Choice - respondent choice Treated - 0 (non-monetary framing); 1 (monetary framing) Safety - % of max Euro NCAP rating Energy - litres per 10km Capacity - litres of boot capacity Cost - car price in NOK ID - respondent identifier

This research set out to examine the role that monetary running cost information can play in terms of highlighting the fuel efficiency of new vehicles. Specifically, this study involved the distribution of a split sample (control/treatment) discrete choice experiment to a representative sample of the Norwegian car buying population, via an online survey undertaken in late 2017. This survey was distributed to over 1000 individuals representing a cross section of the Norwegian population in all regions of the country.

Prior to the distribution of the survey, a series of focus groups identified safety rating and luggage space as the most important attributes to include in the experiment, in addition to the research parameters of interest: purchase price and energy efficiency. Attribute levels were selected to reflect those currently present in the Norwegian automobile market, see Table 1. A fractional factorial design, utilising the JMP software package, generated 32 unique choice pairs. To prevent respondent fatigue, these pairs were split across four survey blocks, so that each respondent faced only eight choices. These eight choices were presented in either the control or treatment format, with each respondent only receiving choices in a single format to avoid any framing contamination effects. Therefore, there were eight versions of the survey in total, four control and four treatment blocks.

In the control version of the experiment, the attributes were displayed in a simplified version of how they are currently displayed on new cars in Norway. In the treatment version, the energy consumption variable was augmented with a monthly running cost estimate, displayed in terms of Norwegian Kroner (NOK). Both the treatment and control images also contained a graphic with the vehicle’s environmental rating (A-G), as mandated under current EU and Norwegian legislation. The rating is based on CO2-emssions, which is proportional to fuel consumption when fuel type is constant. In this study, all vehicles considered used gasoline.

The findings from our analysis of the data suggest that with the addition of running cost estimates, individuals’ WTP for more efficient vehicles can be significantly increased, in the case of this research by up to 28%.

The automobile industry today is the most profitable industry. Due to increase in the income in both rural and urban sector and availability of easy finance are the main drivers of high volume car segments. Further competition is heating up with host of new players coming in and global manufacturers. This analysis and visualization of the automobile dataset will be helpful for the existing and new entrant car manufacturing companies in India to find out the customer expectations and the current analysis of various thousands of variants of vehicles that are running in the market currently. Indian Automobile car business is influenced by the presence of many national and multinational manufacturers which are covered in the dataset which consisted of several tens and hundreds of manufacturers from around the world. This project presents various levels of visualizations using barplots, histograms, scatter plots, boxplots, violinplots etc. And data analysis of consumer automobiles to get a proper understanding of consumer buying and pricing behavior of vehicles that are currently in market to predict prices of future cars based on their other attributes.

Car Registrations in Canada increased to 168731 Units in September from 166524 Units in August of 2025. This dataset provides - Canada Total New Cars - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table contains values from Compare.com's proprietary database of car insurance quotes about average DynamicTable.dataset.coverage.monthly_cost_total car insurance costs DynamicTable.dataset.source.stateAvgPrices

Quarterly data on vehicle registration by fuel type, vehicle type and number of vehicles, Canada, the provinces, census metropolitan areas and census sub-divisions.

The fields available include make, model, year, trim, style, fuel type, MSRP, and many more.

We have developed this file to be tied to our Consumer Demographics Database so additional demographics can be applied as needed. Each record is ranked by confidence and only the highest quality data is used. This file contains over 180 million records in addition to over 1 million+ fresh automotive intender records per day.

Note - all Consumer packages can include necessary PII (address, email, phone, DOB, etc.) for merging, linking, and activation of the data.

BIGDBM Privacy Policy: https://bigdbm.com/privacy.html

📝 Description

This Electric Vehicle (EV) Sales and Adoption dataset contains detailed records of electric vehicle sales, including vehicle details, region, customer segments, and sales metrics. It aims to help data enthusiasts and businesses forecast EV sales, analyze market trends, and derive insights to improve marketing and inventory strategies.

📊 Collection Methodology

Data Aggregation: Combined from (fictional) public EV registration records, automotive dealership sales reports, and online retailer transactions.

Quality Control: Only confirmed EV transactions are included; partially-completed orders and canceled orders were filtered out.

Revenue Calculation: Reflects the final sale price after applying any applicable discounts or incentives.

Feature Engineering: Customer demographics (segment, region) are included to facilitate market segmentation analysis.

🚀 Potential Use Cases

Sales Forecasting – Predict future EV sales volume based on regional and demographic patterns.

Market Trend Analysis – Identify which brands and vehicle types are most popular in specific regions.

Battery and Range Insights – Correlate battery capacity and fast-charging options with sales performance.

Consumer Behavior & Segmentation – Understand different customer segments' purchasing habits and price sensitivities.

Environmental Policy & Incentive Impact – Investigate how discounts or tax incentives affect adoption rates.

🔑 Key Features

Date: Represents a month in YYYY-MM format.

Region: Geographic region where sales took place.

Brand: Automotive brand (e.g., Tesla, BYD, Volkswagen, etc.).

Model: Specific EV model name.

Vehicle_Type: Category (Sedan, SUV, Hatchback, etc.).

Battery_Capacity_kWh: Battery capacity in kilowatt-hours.

Discount_Percentage: Any discount applied to final sale (%).

Customer_Segment: Broad segmentation (High Income, Tech Enthusiast, Eco-Conscious, etc.).

Fast_Charging_Option: Indicates if the vehicle supports fast-charging.

Units_Sold: Total number of units sold (in train.csv).

Revenue: Total revenue from units sold (in train.csv).

This dataset is well-suited for machine learning, statistical analysis, and data visualization projects that address growing interest in electrification, sustainability, and emerging transportation technologies!

Since the launch of the iZEV Program on May 1, 2019, Transport Canada has been producing statistics on consumer uptake under the program for the following variables: - Province/territory or all of Canada - Province/territory and postal code of the dealership each vehicle was purchased/leased from - Make and/or model (including model year) - Engine type (i.e., 100% battery electric versus plug-in hybrids - both over and under 50 km of electric range.) - Recipient type (i.e., individual or organization and purchase or lease) - A time period, including: * A specific month * Ranges of months (e.g., June 2020 to January 2021) * Calendar year (January 1 to December 31) * The Government of Canada’s fiscal year (April 1 to March 31) The current data provides iZEV monthly statistics. Revisions of archived data will be updated quarterly, these revisions are generally minor and are mainly due to approval of incentive requests that were incomplete when first submitted to Transport Canada. Most revisions are typically from the most recent three-month period. If you have any questions, please contact us at iZEV-iVZE@tc.gc.ca

Used Car Prices YoY in the United States decreased to 0 percent in October from 2 percent in September of 2025. This dataset includes a chart with historical data for the United States Used Car Prices YoY.

The dataset is scraped from one of China's largest automobile website and contains the detailed monthly car sales data in Mainland China. I have tried to translate several columns to English. The columns: - model: model of cars; - units_sold: total units of each model sold in one month; - make: the manufacturer of the model; - low_price: the minimal cost to buy the model (in K RMB); - high_price: the highest price for the model (in K RMB); - year_month: the year month recorded; - is_ev: if the model is EV or Gasoline; - body_type: Hatchback/SUV/MPV/Sedan and Sports Car; - brand: the brand for the model; - brand_country: the country of the brand.

Here are some highlights of the data to get you started: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F520716%2Ff536c0346acfc3aae5e26393e29d6af1%2F01.png?generation=1716518594964966&alt=media" alt="">

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F520716%2F1216d519659ca2536e4832332dc9ca7d%2F02.png?generation=1716518615094733&alt=media" alt="">

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F520716%2Fe803a148b7aca25a32057c9c53eee443%2F03.png?generation=1716518624521373&alt=media" alt="">

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F520716%2F0ea0e14d517b7c8dba9ac0bcf4c29938%2F04.png?generation=1716518634761838&alt=media" alt="">

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F520716%2Fa27cbff394f04a9486ff339830d30dac%2F05.png?generation=1716518646316697&alt=media" alt="">

Happy exploring!

Luxury Car Market Trends | Industry Analysis, Size & Forecast Report

Dataset updated: Jun 27, 2024

Dataset authored and provided by: Mordor Intelligence

License: https://www.mordorintelligence.com/privacy-policy

Time period covered: 2019 - 2029

Area covered: Global

Variables measured: CAGR, Market size, Market share analysis, Global trends, Industry forecast

Description: The Luxury Car Market size is estimated at USD 738.63 billion in 2024, and is expected to reach USD 967.65 billion by 2029, growing at a CAGR of 5.55% during the forecast period (2024-2029).

Quantitative Units: Revenue in USD Billion, Volumes in Units, Pricing in USD

Segments Covered: The luxury car market is segmented by vehicle type, drive type, vehicle class, and geography. By vehicle type, the market is segmented into hatchbacks, sedans, sport utility vehicles, multi-purpose vehicles, and other vehicle types (sports, etc.). By drive type, the market is segmented into internal combustion engines and electric and hybrid. By vehicle class, the market is segmented into entry-level luxury class, mid-level luxury class, and ultra-luxury class.

Regions and Countries Covered: North America, Europe, Asia-Pacific, and Rest of the world

Market Players Covered: Key Players Include Mercedes-Benz, BMW, Volkswagen Group, and Tesla.